Natural Gas Demand Analysis in Guangdong Province Based on Random Forest Algorithm
The Guangdong-Hong Kong-Macao Greater Bay Area is the core area of natural consumption in China and the most important component of the eight load centers.Taking Guangdong Province as the study object,the random forest method was used to screen and rank the medium-and long-term natural gas demand influences in Guangdong Province,so as to forecast the natural gas demand in Guangdong Province from 2024 to 2040.The results show that the share of secondary industry,the share of primary industry,the share of electricity consumption,the city gas penetration rate,the share of tertiary industry,and carbon dioxide emissions are relatively important influencing factors.Influenced by the influence of various factors,the demand for natural gas in Guangdong Province will increase year by year from 2024 to 2040,reaching 63.4 billion m3 in 2040,providing data support for the planning and construction of natural gas pipelines in Guangdong Province.
random forestGuangdong Provincenatural gasinfluencing factors
万方数据
维普
